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Register a new userBeyond Fair Pay: Ethical Implications of NLP Crowdsourcing
أبعد من الأجر العادل: الآثار الأخلاقية للمجموعة الخوفية
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إن استخدام CrowDWorkers في بحث NLP ينمو بسرعة، جنبا إلى جنب مع الزيادة الأسية في الإنتاج البحثي في التعلم الآلي و AI. عادة ما يقتصر المناقشة الأخلاقية المتعلقة باستخدام الجمهور في مجتمع أبحاث NLP في نطاق القضايا المتعلقة بظروف العمل مثل الأجر العادل. نلفت الانتباه إلى عدم وجود اعتبارات أخلاقية تتعلق بالمهام المختلفة التي يقوم بها العمال، بما في ذلك وضع العلامات والتقييم والإنتاج. نجد أن القاعدة النهائية، والإطار الأخلاقي المشترك الذي يستخدمه الباحثون، لم يتوقع استخدام منصات التعهيد الجماعي عبر الإنترنت لجمع البيانات، مما أدى إلى فجوات بين روح وممارسة أخلاقيات الأشخاص البشري في أبحاث NLP. نحن تعدد السيناريوهات الشائعة التي يكون فيها crowdworkers التي يقومون بها مهام NLP معرضة لخطر الأذى. وبالتالي نوصي الباحثون بتقييم هذه المخاطر من خلال النظر في المبادئ الأخلاقية الثلاثة التي أنشأها تقرير بلمونت. ونوضح أيضا بعض المفاهيم الخاطئة المشتركة فيما يتعلق بتطبيق مجلس المراجعة المؤسسية (IRB). نأمل أن تعمل هذه الورقة على إعادة فتح المناقشة داخل مجتمعنا فيما يتعلق بالاستخدام الأخلاقي للجمهور.
The use of crowdworkers in NLP research is growing rapidly, in tandem with the exponential increase in research production in machine learning and AI. Ethical discussion regarding the use of crowdworkers within the NLP research community is typically confined in scope to issues related to labor conditions such as fair pay. We draw attention to the lack of ethical considerations related to the various tasks performed by workers, including labeling, evaluation, and production. We find that the Final Rule, the common ethical framework used by researchers, did not anticipate the use of online crowdsourcing platforms for data collection, resulting in gaps between the spirit and practice of human-subjects ethics in NLP research. We enumerate common scenarios where crowdworkers performing NLP tasks are at risk of harm. We thus recommend that researchers evaluate these risks by considering the three ethical principles set up by the Belmont Report. We also clarify some common misconceptions regarding the Institutional Review Board (IRB) application. We hope this paper will serve to reopen the discussion within our community regarding the ethical use of crowdworkers.
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